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    Software Carpentry Workshop (Shell, Git, R for Reproducible Scientific Analysis)

    Data controller
    Khaoula Ferchichi
    training@hpc.uni-bonn.de
    → Europe/Berlin
    Kreuzbergweg 24/0.052 (FTD) - Präsentationsraum (FTD)

    Kreuzbergweg 24/0.052 (FTD) - Präsentationsraum

    FTD

    87
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    Florian Boecker (uni-bonn), Jan Steiner (uni-bonn), Kai Sturm, Khaoula Ferchichi (uni-bonn), Michael Kuckertz
    Description

    This is a workshop covers Unix Shell, Version Control with Git and R for Reproducible Scientific Analysis.

    The course is aimed at graduate students and other researchers.  You don't need to have any previous knowledge of the tools that will be presented at the workshop.

    The course is organized by the HPC@HRZ Team.

    Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed. Please check the course website for more information.

    All applicants will initially be placed on a waiting list, after which participants will be selected at random. Please note that you will not receive a final confirmation of acceptance or rejection before November 23, 2026.

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    • Monday 7 December
      • 09:00 → 09:10
        The Unix Shell: Welcome, workshop introduction & overview
      • 09:10 → 10:45
        The Unix Shell: Intro, Files and Directories
      • 10:45 → 11:00
        Coffee break 15m
      • 11:00 → 11:45
        The Unix Shell: Pipes and Filters
      • 11:45 → 12:45
        Lunch break 1h
      • 12:45 → 13:55
        The Unix Shell: Loops & Shell Scripts
      • 13:55 → 14:00
        The Unix Shell: Wrap-up
    • Tuesday 8 December
      • 09:00 → 10:45
        Version Control with Git: Creating a Repository & Tracking Changes
      • 10:45 → 11:00
        Coffee break 15m
      • 11:00 → 12:00
        Version Control with Git: Exploring History
      • 12:00 → 14:30
        Lunch break 2h 30m
      • 14:30 → 16:20
        Version Control with Git: Collaborating & Conflicts
      • 16:20 → 16:30
        Version Control with Git: Wrap-up
    • Wednesday 9 December
      • 12:30 → 14:15
        R for Reproducible Scientific Analysis: Introduction to R and RStudio
      • 14:15 → 14:45
        Coffee break 30m
      • 14:45 → 16:45
        R for Reproducible Scientific Analysis: Working with Data
      • 16:45 → 17:20
        R for Reproducible Scientific Analysis: Creating Publication-Quality Graphics with ggplot2
      • 17:20 → 17:30
        R for Reproducible Scientific Analysis: Wrap-up
    • Thursday 10 December
      • 14:30 → 15:15
        R for Reproducible Scientific Analysis: Creating Publication-Quality Graphics with ggplot2 — Continued
      • 15:15 → 16:15
        R for Reproducible Scientific Analysis: Vectorization & Functions
      • 16:15 → 16:45
        Coffee break 30m
      • 16:45 → 17:45
        R for Reproducible Scientific Analysis: Data Frame Manipulation
      • 17:45 → 18:10
        R for Reproducible Scientific Analysis: Writing Data & Producing Reports with knitr
      • 18:10 → 18:20
        R for Reproducible Scientific Analysis: Wrap-up
      • 18:20 → 18:30
        R for Reproducible Scientific Analysis: Post-workshop survey